SAMSUNG ELECTRONICS CO., LTD. 960XGL
Geekbench AI Score
2863
Single Precision Score
8943
Half Precision Score
13854
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | December 04 2025 01:53 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | SAMSUNG ELECTRONICS CO., LTD. 960XGL |
| Motherboard | SAMSUNG ELECTRONICS CO., LTD. NP960XGL-XG1BR |
| Power Plan | SAMSUNG MODE |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 9 185H |
| Topology | 1 Processor, 16 Cores, 22 Threads |
| Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1443
268.3 IPS |
|
|
Image Classification (HP)
|
100% |
5895
1.10 KIPS |
|
|
Image Classification (Q)
|
100% |
8408
1.56 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2331
37.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2468
40.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
2982
48.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
4594
5.36 IPS |
|
|
Pose Estimation (HP)
|
100% |
29771
34.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
65672
76.9 IPS |
|
|
Object Detection (SP)
|
100% |
1513
120.0 IPS |
|
|
Object Detection (HP)
|
100% |
5400
428.3 IPS |
|
|
Object Detection (Q)
|
88% |
9178
735.8 IPS |
|
|
Face Detection (SP)
|
100% |
4914
58.4 IPS |
|
|
Face Detection (HP)
|
100% |
16309
193.8 IPS |
|
|
Face Detection (Q)
|
100% |
29318
348.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
4751
36.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
17501
134.8 IPS |
|
|
Depth Estimation (Q)
|
88% |
32231
250.8 IPS |
|
|
Style Transfer (SP)
|
100% |
13613
17.5 IPS |
|
|
Style Transfer (HP)
|
100% |
46459
59.7 IPS |
|
|
Style Transfer (Q)
|
98% |
87803
113.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2301
85.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14232
525.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
27397
1.01 KIPS |
|
|
Text Classification (SP)
|
100% |
1682
2.24 KIPS |
|
|
Text Classification (HP)
|
100% |
1828
2.44 KIPS |
|
|
Text Classification (Q)
|
92% |
1825
2.45 KIPS |
|
|
Machine Translation (SP)
|
100% |
1291
22.2 IPS |
|
|
Machine Translation (HP)
|
100% |
4058
69.9 IPS |
|
|
Machine Translation (Q)
|
100% |
4156
71.6 IPS |
